Data Modernization & Cloud Transformation
We help you modernize legacy systems, migrate data to cloud platforms, and build scalable data environments
that are fully prepared for AI, advanced analytics, and enterprise-scale growth . By leveraging modern cloud
infrastructure and intelligent automation, we ensure your data foundation is not only robust and secure,
but also future-proof – ready to power the AI and insights that drive competitive advantage.
What We Deliver
- Cloud Migration: Seamless migration of databases, applications, and data platforms to AWS, Azure, or Google Cloud – with zero business disruption and a clear strategy to minimize downtime.
- Data Warehouse Modernization: Redesign and rebuild of legacy data warehouses into modern, cloud-native architectures (e.g. Snowflake, Databricks, BigQuery) that improve performance and scalability.
- Cloud-Native Analytics: Development of real-time, event-driven analytics pipelines and interactive dashboards to unlock immediate insights from your data.
- Machine Learning & AI Readiness: Preparation of data pipelines and infrastructure for advanced AI/ML workloads – ensuring your data is clean, accessible, and optimized for training predictive models and AI-powered applications.
- Legacy Platform Decommissioning: Systematic modernization or sun setting of outdated on premise data platforms. We streamline and consolidate your data stack to reduce maintenance costs and eliminate risks associated with obsolete technology.
- Agentic AI-Powered Data Engineering: Intelligent automation of data engineering tasks (such as data profiling, schema mapping, ETL/ELT processes) using autonomous AI agents. This significantly cuts manual effort while improving accuracy and speed of data preparation.
Key Benefits for Our Clients
- Achieve modernization 50% faster than traditional methods, accelerating time-to-insight.
- Reduce cloud and infrastructure costs significantly by optimizing resource usage and eliminating legacy overhead.
- Future-proof your data architecture – built to support AI, machine learning, and evolving analytics needs.
- Improve data quality and governance through automated frameworks, ensuring trustworthiness and compliance of your data.
- Eliminate dependency on legacy systems, lowering operational risk and freeing your teams to innovate on modern platforms.
Who Should Use This Service
- SaaS companies preparing for AI-driven product launches or looking to leverage their data for new value-added services.
- Financial technology firms scaling up real-time analytics (e.g. payment insights, risk analytics) and requiring a modern data backbone.
- Healthcare organizations modernizing clinical, operational, or patient data systems to improve outcomes and efficiency.
- Enterprises migrating critical legacy workloads to cloud-native platforms to increase agility and reduce technical debt.
- Private Equity portfolio companies aiming to increase their data platform’s value (and valuation) by making it scalable and AI-ready.